B2B Sales Trigger Intelligence
Pricing
from $1.00 / 1,000 results
B2B Sales Trigger Intelligence
Detect high-intent B2B sales triggers hiring surges, funding rounds, executive changes, and news momentum from a list of company names. Produces a graded (A/B/C/D) priority list with rationale and source signals.
Pricing
from $1.00 / 1,000 results
Rating
5.0
(6)
Developer
Crawler Bros
Actor stats
7
Bookmarked
1
Total users
0
Monthly active users
4 days ago
Last modified
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Identify which accounts in your pipeline are showing real buying signals right now — without spending hours digging through LinkedIn, Crunchbase, and news feeds by hand.
Paste a list of companies. Get back a graded priority list (A / B / C / D) with a one-line rationale, a composite 0–100 score, and the strongest signal detected across hiring, funding, and news.
Why use this actor
Sales teams waste a huge amount of time researching accounts. Most of the intent signals that matter are public:
- A company just raised a Series B? They are hiring, buying tools, and have budget.
- A company opened 30 new engineering roles this quarter? They are scaling, and scaling teams need vendors.
- A company is dominating headlines with a new product launch? Reach out while momentum is high.
This actor automates the "is this account worth a touch right now?" question for every company on your list.
What you get
For each company, the output includes:
- Grade (A / B / C / D) — an at-a-glance priority flag
- Composite score (0–100) combining hiring, funding, and news signals
- Priority flag — true for A-graded companies or those funded in the last 180 days
- Top signal — the single strongest trigger, in plain English
- Rationale — why this company got its grade
- Per-source breakdown (in Full mode) — job posting counts, funding rounds, news volume and sentiment
Input
| Field | Description |
|---|---|
| Companies (one per line) | Paste company names into a textarea, one per row |
| Companies (advanced) | Optional: structured array with companyName + domain. Overrides the text list |
| Output format | compact for a scannable priority list; full for per-source details |
| Max concurrency | How many companies to process in parallel (1–10) |
| Include raw signals | Adds top headlines and sample job titles to the output |
| Proxy | Residential proxy recommended (Google News RSS is always direct) |
Output fields (compact mode)
companyName— company as provideddomain— inferred primary domaingrade— A / B / C / Dscore— 0–100 compositepriorityFlag— booleantopSignal— strongest buying signalrationale— short explanationrunTimestamp— ISO 8601
Full mode adds: scoreBreakdown, hiringSignal, fundingSignal, newsSignal.
Dataset views
- Overview — the priority list (one row per company, grade + top signal)
- Hiring Signals — focus on LinkedIn hiring activity
- Funding Signals — focus on Crunchbase funding rounds
- News Signals — focus on Google News volume and sentiment
FAQ
How do you decide the grade? The score is a weighted sum of three pillars: hiring (up to 40 points), funding (up to 40 points), and news momentum (up to 20 points). A ≥ 70, B = 45–69, C = 20–44, D < 20.
What counts as a hiring signal? Active LinkedIn job postings, the mix of roles (eng/sales/exec), and the rate of new posts in the last 30 days.
What if a company has a private or locked-down Crunchbase page? That pillar is skipped silently and the grade is computed from the remaining pillars. We never fabricate data.
How is news sentiment measured? A fast keyword classifier tags each headline as positive / neutral / negative. Companies with positive coverage momentum score higher.
Do you need cookies or logins? No. All three sources are scraped from publicly accessible endpoints.
How fresh are the signals? Every run fetches live data. Nothing is cached server-side.
What if a company name is ambiguous (e.g., "Apple")? Provide the domain in the advanced input to disambiguate. Otherwise the actor uses the best web match it finds.
Can I feed this into my CRM? Yes — the compact output is designed to map directly onto CRM fields. Pipe the dataset URL into Zapier / Make / your warehouse.
Will all three sources always return data?
No. If all three sources fail for a company, that company is emitted as a company_error row with the specific failures so you can retry or investigate.